Southwest Petroleum University

University of Electronic Science and Technology of China

China University of Geosciences (wuhan)

Chinese Academy of Sciences

China University of Petroleum

Oil & Gas Survey Center, China Geological Survey

Sinopec Exploration Company

Shale Gas Research Institute, Petrochina Southwest Oil and Gas Field Company

Sichuan Hengyi Petroleum Technology Services Co., Ltd

Petrochina Zhejiang Oilfield Company

Sinopec Southwest Petroleum Bureau Co., Ltd

Jiangxi Provincial Shale Gas. Investment Company, Ltd

Zhongke Xinghe (shandong) Intelligent Technology Co., Ltd.

Xinyang He

Lei Chen

Yang Yang

Kun Zhang

Xueying Wang

Fengli Han

Yipeng Liu

Jingru Ruan

Hengfeng Gou

Xuefei Yang

Hulin Niu

Weishi Tang

Ping Liu

Lintao Li

Chengzao Jia

Jiayi Liu

Shu Jiang

Yan Song

Xiong Ding

Bin Li

Yubin Gong

Yi Zhang

Yi Shu

Lu Lu

Jun Peng

Haibo Jiang

Zijun Chen

Meijia Wu

Laiting Ye

Jiangnan Fu

Yi Xiao

Jinhua Liu

Binsong Zheng

Yiting Qiao

Zeyun Wang

Jia He

Jing Li

Tian Tang

Cheng Yang

Yuan Gao

Pei Liu

Lin Jiang

Zhenxue Jiang

Xuri Huang

Xuejiao Yuan

Nanxi Zhang

Jiasui Ouyang

Ruisong Li

Yunbo Zhang

Tong Wang

Hanbing Zhang

Pu Huang

Xingmeng Wang

Shoucheng Xu

Yubing Ji

Yongjun Li

Tianyou Zhi

Weiwei Liu

Songyang Wan

Sihong Cheng

Daiyu Wu

Xiaoxia Dong

Shaomeng Wang

Chengbo Gui

Dan Tang

Bo Li

Liang Xu

Hong Liu

Xiangyu Fan

Hu Zhao

Zhujiang Liu

Xiangfeng Wei

Yanhua Lin

Daojun Wang

Jingyu Hao

Feiran Chen

Ruobing Liu

Fubin Wei

Yijia Wu

Yiming Yang

Zhi Gao

Jiajie Wu

Yongyang Liu

Jun Dong

A method for quantitative evaluation of self-sealing property of organic-rich shale includes: S1, selecting geological parameters for evaluating the self-sealing property of the organic-rich shale; S2, taking organic-rich shale samples, and measuring the geological parameters of each sample; S3, calculating a weight coefficient w; of each geological parameter; S4, calculating a self-sealing evaluation coefficient S, and correcting the S to obtain a corrected self-sealing evaluation coefficient S'; S5, establishing a self-sealing evaluation standard of the organic-rich shale according to the S′, wherein if S′≥0.6, the self-sealing grade is excellent, if 0.45≤S′<0.6, the self-sealing grade is good, if 0.3≤S′<0.45, the self-sealing grade is medium, and if S′<0.3, the self-sealing grade is poor. According to the method, the self-sealing property of the shale is quantitatively evaluated, and the preservation condition of the shale gas in the shale formation can be more accurately predicted.

Method for quantitative evaluation of self-sealing property of organic-rich shale

A calculation method for fractal dimensions of shale pores includes steps as follows. S1: multiple shale samples from a target stratum of a study area are obtained, parameter values of geological parameters of each of the multiple shale samples are obtained, followed by dividing the multiple shale samples into target shale samples and experimental shale samples. S2: PCA is performed on the parameter values to obtain principal components representing a variation of the geological parameters. fractal dimensions are calculated based on an existing fractal dimension calculation method. S3: the principal components are used as independent variables and the fractal dimensions are used as dependent variables, followed by performing regression analysis to obtain a quantitative calculation model. S4: the fractal dimensions of the target shale sample are calculated according to the parameter values and the quantitative calculation model for the fractal dimension based on the parameter values.

Calculation method for fractal dimension of shale pores

A quantitative prediction method for gas content of deep marine shale includes: obtaining raw data of known wells; establishing relationship formulas between pore specific surface areas and adsorbed gas contents of a known well in an area as an adsorbed gas content quantitative prediction model; establishing relationship formulas between pore volumes and free gas contents of the known well as a free gas content quantitative prediction model; summing the adsorbed gas contents and corresponding free gas contents to obtain total gas contents; calculating adsorbed gas contents, free gas contents and total gas contents of the known wells; drawing a predicted adsorbed gas content contour map, a predicted free gas content contour map and a predicted total gas content contour map; and reading an adsorbed gas content, a free gas content and a total gas content of an unknown well in the area from the above contour maps.

Quantitative prediction method for gas content of deep marine shale

A method for calculating a surface relaxation rate of a shale includes: a relaxation time T distribution curve and a pore throat radius r distribution curve are obtained through experiments; abscissas of the two distribution curves are standardized, and the abscissa of the relaxation time T distribution curve is expanded or shrunk to ensure an abscissa value corresponding to a maximum ordinate value in the transformed relaxation time T distribution curve is same as an abscissa value corresponding to a maximum ordinate value in the pore throat radius r distribution curve; straight lines with a number of N parallel to a y-axis of a combined curve graph including the two distribution curves are drawn and a ρ value corresponding to each straight line is calculated; and ρ value with the number of N are processed to obtain a final surface relaxation rate ρ'.

Method for calculating surface relaxation rate of shale

A method for combined characterization of pore structure includes steps as follows. Firstly, CO, Nand high-pressure mercury intrusion porosimetry characterization curves are plotted based on actual measurement data, then, average values of the overlapping range of the COand Ncharacterization curves are calculated, and a function y'=ƒ(x) is fitted. Each pore volume y′ corresponding to each pore diameter xis calculated, and a curve is plotted with xas a horizontal coordinate and y′ as a vertical coordinate, thereby obtaining a characterization curve of the overlapping range between COand Nadsorptions. The same data processing is used to process the overlapping range data of the Nand high-pressure mercury intrusion porosimetry characterization curves, to obtain the characterization curve between them. The characterization curves are spliced with the original CO, N, and high-pressure mercury intrusion porosimetry characterization curves to obtain a combined characterization curve.

Method for combined characterization of pore structure

Provided is an analysis method for determining gas-bearing situation of an unknown shale reservoir, includes: S, selecting a shale reservoir of a target interval of a place; and collecting data of parameters of cores of each of a known gas-bearing shale reservoir A and a known water-bearing shale reservoir B; S, calculating average values of the parameters of each of the reservoirs A and B respectively; S, calculating average differences of the parameters of each of the reservoirs; S, calculating covariance values of the parameters of each of the reservoirs; S, establishing, according to the covariance values, an equation group and resolving discriminant coefficients; S, establishing a discriminant equation according to the discriminant coefficients and solving a discriminant index; and S, obtaining values of parameters of cores of a sample of the unknown shale reservoir, calculating a discriminant value, and determining gas-bearing situation of the unknown shale reservoir.

Analysis method for determining gas-bearing situation of unknown shale reservoir

A method and device for generating synthetic vortex sound field (SVSF) with more mode number includes the following steps: (1) a transducer array composed of N transducer units is constructed, and each transducer unit emits a sound field to generate an initial sound field; (2) at the same time, the position of the transducer unit and the phase of the sound field emitted by each transducer unit are changed, and each change produces a sound field, and thus changings times produces of sound fields, wherein the way to change the position of the transducer unit is to rotate the transducer array as a whole; (3) the initial sound field is superimposed with s of sound fields generated in step (2), to obtain SVSF with more mode number. The method and device for generating vortex sound field (VSF) can be used for underwater communication or acoustic imaging.

Method and device for generating synthetic vortex sound field with more mode number

A novel synthetic uniform circular array (SUCA) method for generating vortex electromagnetic (EM) wave carrying high orbital angular momentum (OAM) mode has the following steps. N antenna elements are placed radially to form a uniform circular array (UCA), where N is a positive integer. By rotating the array elements to various spatial locations, modifying their feeding phases, and superimposing the generated fields at various spatial locations, SUCA can beat the limit of space and configure more array elements to generate vortex electromagnetic (EM) waves carrying high mode OAMs. Meanwhile, due to the more synthetic array elements and smaller aperture than the traditional UCA, the purity of OAM mode is higher and it is more flexible to adjust the main lobe directions of these vortex waves carrying different OAM modes, and can generate vortex EM waves.

Method for synthesizing vortex electromagnetic wave carrying high orbital angular momentum (OAM) mode

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Chengdu, China

Xinyang He